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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SVA retrotransposon insertion-associated deletion represents a novel mutational mechanism underlying large genomic copy number changes with non-recurrent breakpoints
|
|---|---|
| Published in |
Genome Biology, June 2014
|
| DOI | 10.1186/gb-2014-15-6-r80 |
| Pubmed ID | |
| Authors |
Julia Vogt, Kathrin Bengesser, Kathleen BM Claes, Katharina Wimmer, Victor-Felix Mautner, Rick van Minkelen, Eric Legius, Hilde Brems, Meena Upadhyaya, Josef Högel, Conxi Lazaro, Thorsten Rosenbaum, Simone Bammert, Ludwine Messiaen, David N Cooper, Hildegard Kehrer-Sawatzki |
| Abstract |
Genomic disorders are caused by copy number changes that may exhibit recurrent breakpoints processed by nonallelic homologous recombination. However, region-specific disease-associated copy number changes have also been observed which exhibit non-recurrent breakpoints. The mechanisms underlying these non-recurrent copy number changes have not yet been fully elucidated. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 33% |
| France | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 4% |
| Spain | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 71 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Researcher | 13 | 17% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Other | 11 | 14% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 30% |
| Agricultural and Biological Sciences | 18 | 24% |
| Medicine and Dentistry | 17 | 22% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 2 | 3% |
| Other | 1 | 1% |
| Unknown | 12 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 June 2014.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Genome Biology
#4,001
of 4,467 outputs
Outputs of similar age
#130,999
of 241,454 outputs
Outputs of similar age from Genome Biology
#33
of 38 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 241,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.